updated gha workflow

.github/workflows/build_docs.yaml

@@ -1,7 +1,15 @@
-# Job (3): Build and deploy docs
+name: Build & Deploy Jupyter Book
+
+on:
+  push:
+    branches:
+      - main  # Adjust this to your default branch if it's different
+
+jobs:
   docs:
     name: Build & deploy docs
     runs-on: ubuntu-latest
+
     steps:
       - name: Checkout Code
         uses: actions/checkout@v3
@@ -13,21 +21,24 @@
 
       - name: Upgrade pip
         run: |
-          # install pip=>20.1 to use "pip cache dir"
-          python3 -m pip install --upgrade pip
+          python -m pip install --upgrade pip
 
-      - name: Install deps
+      - name: Install dependencies
         run: |
-          python3 -m pip install . -r requirements.txt
-          python3 -m pip install -r ./requirements-dev.txt
+          pip install -r requirements.txt
+          pip install -r requirements-dev.txt
 
       - name: Build book
         run: |
           jupyter-book build docs
-          # echo 'py-feat.org' > ./docs/_build/html/CNAME
+
+      - name: Debug - List files
+        run: |
+          ls -la
+          ls -la docs/_build/html
 
       - name: Deploy docs
         uses: peaceiris/actions-gh-pages@v3
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
-          publish_dir: ./docs/_build/html
+          publish_dir: ./docs/_build/html

docs/intro.md

@@ -16,6 +16,12 @@ TD fNIRS uses time gating to discriminate the photons arriving to the detector a
 
 A common way to summarize information from time-of-flight histograms is to compute the first three moments of the histogram corresponding to the total counts (sum), mean time-of-flight (first moment), and variance of the times of flight (second central moment). Moments have a convenient property: the moments of the DTOF can be obtained from calculating the moments of the TPSF and of the IRF straightforwardly. Accordingly, with Flow2, system drift in the DTOF moments can be corrected for, using the internal IRF detector. However, the instrument response function (IRF) can complicate data interpretation in TD-fNIRS. To address this, moment analysis of the distribution of times of flight (DTOF) has been proposed as an alternative to time gates analysis. Higher statistical moments of the DTOF show increased sensitivity to deeper tissue layers.
 
+{image} images/flow2.png
+
+
+## Flow 2
+
+{image} images/DTOF.png
 
 ## Resources